{"id":"W3127242715","doi":"10.1101/2021.02.07.430153","title":"Cardiac RyR N-terminal region biosensors for FRET-based high-throughput screening","year":2021,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Ion channel regulation and function","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Institutes of Health; Canadian Institutes of Health Research; RYR-1 Foundation","keywords":"Ryanodine receptor; RYR1; Förster resonance energy transfer; Endoplasmic reticulum; Biophysics; Chemistry; Ryanodine receptor 2; High-throughput screening; Small molecule; Fluorescence; Biochemistry; Biology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001222149,0.00103892,0.001549926,0.0007371922,0.0002110476,0.0005014524,0.001066313,0.001029147,0.002168679],"category_scores_gemma":[0.0007317892,0.0004060146,0.0006299516,0.0007332751,0.0002368829,0.0004520137,0.0005166326,0.0009856955,0.001652137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007445489,"about_ca_system_score_gemma":0.0002400961,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000418054,"about_ca_topic_score_gemma":0.0006422012,"domain_scores_codex":[0.9987133,0.0002955231,0.00009719487,0.0002298974,0.000544144,0.0001201085],"domain_scores_gemma":[0.9996756,0.00009723417,0.00005675742,0.0000547684,0.00008111182,0.00003446335],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00006774924,0.00009237546,0.0001252834,0.00006400651,0.00001597677,0.00003161923,0.00001058843,0.0008331833,0.9944639,0.0001378082,0.0003379305,0.003819654],"study_design_scores_gemma":[0.00002948373,0.0005728251,0.0006085226,0.000008050831,0.0000263293,0.0001078469,0.00001597371,0.01046157,0.9856173,0.00009235082,0.002441962,0.00001764585],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.6200975,0.00546745,0.3503296,0.0008052547,0.0002506604,0.001492431,0.007515382,0.005751612,0.008290144],"genre_scores_gemma":[0.8159478,0.002814104,0.1644171,0.0003797979,0.00004973097,0.001896336,0.004683371,0.000266579,0.009545187],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.002168679,"threshold_uncertainty_score":0.007254958,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01803057640669875,"score_gpt":0.2287351066404432,"score_spread":0.2107045302337444,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}